C. Périer

581 citations
38 papers · 434 indexed · h-index 12

C. Périer

36 papers receiving 418 citations

Peers

C. Périer
Comparison fields: 5 of 89
  • Clinical Biochemistry 45
  • Radiology, Nuclear Medicine and Imaging 113
  • Aging 6
  • Rheumatology 49
  • Occupational Therapy 13
Replace Daiji Miura with:
Daiji Miura Japan
Maria B. Grant United States
Yan Dai China
Harry A.J. Struijker Boudier Netherlands
Anh Cao Australia
Tatsuya Fukutomi Japan
G. Sophie Mijnhout Netherlands
Tadashi Kuroda Japan
Min Gao China
Thore Hillig Denmark
C. Périer relative to Daiji Miura Japan Daiji Miura's profile →
Citations per field
00.5×3.2×
Daiji Miura · 1×
Citations per year

Countries citing papers authored by C. Périer

Since Specialization
Citations

This map shows the geographic impact of C. Périer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by C. Périer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Périer more than expected).

Fields of papers citing papers by C. Périer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Périer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by C. Périer. The network helps show where C. Périer may publish in the future.

Co-authorship network

The 25 scholars most cited alongside C. Périer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Périer Line = papers co-authored together C. Périer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202045
2 201825
3 20093
4 20039
5 20033
6 200220
7 200116
8 200032
9
HbA1c: concertation clinico-biologique pour la standardisation des méthodes de dosage. Rapport des experts de l'ALFEDIAM et de la SFBC.
19993
10 199910
11 19992
12 19961
13
[Evaluation of assay methods of glycohemoglobin: reference method and parameter].
19951
14 198921
15 198823
16 19876
17
[Course of the prolyl hydroxylase activity and the quantity of collagen amino acids in the liver during a 2-year experimental chronic iron overload in baboons].
19833
18 19807
19
Relationship between hemoglobin A1c and insulin C-peptide in anomalies of carbohydrate metabolism.
19801
20 19764

About C. Périer

C. Périer is a scholar working on Clinical Biochemistry, Biochemistry and Cell Biology, having authored 38 papers that have together received 434 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (5 papers), Metabolism and Genetic Disorders (3 papers), Muscle metabolism and nutrition (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetes Treatment and Management (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Clinical Biochemistry (45 citations), Radiology, Nuclear Medicine and Imaging (113 citations) and Aging (6 citations). C. Périer has collaborated with scholars based in France, Switzerland and Canada. Frequent co-authors include André Chamson, Olivier Saut, Jennifer K. Frey, Baudouin Denis de Senneville, François Le Loarer, Michèle Kind, Amandine Crombé, Xavier Buy, Antoîne Italiano and Régis Gonthier. Their work appears in journals such as Biochimie, Amino Acids, Clinical Chemistry, Diabetes & Metabolism and Gerontology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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